code: def test_predict_wo_training(
      self, framework: str, model: str, dataset_text_classification: str
  ) -> None:
      if framework == "spacy-transformers":
          pytest.skip(
              "Not all `transformers` can be loaded in `spacy`, as in this case `bert-tiny` used in tests"
          )
      trainer = ArgillaTrainer(
          name=dataset_text_classification,
          framework=framework,
          model=model,
      )
      trainer._trainer.predict("This is a text")
  
file_path: argilla/tests/integration/training/test_spacy.py
imports: import argilla
  import pytest
  from argilla.training import ArgillaTrainer
  from tests.integration.training.helpers import cleanup_spacy_config, train_with_cleanup
label_desc: Use image node_id 6 for calling the TestSpaCyTrainer obj's underlying member method code with example usage: obj.test_predict_wo_training(framework, model, dataset_text_classification) without return types